Numerical and artificial intelligence based investigation on the development of design guidelines for pultruded GFRP RHS profiles subjected to web crippling

Abstract This article presents a numerical and artificial intelligence (AI) based investigation on the web crippling performance of pultruded glass fiber reinforced polymers’ (GFRP) rectangular hollow section (RHS) profiles subjected to interior-one-flange (IOF) loading conditions. To achieve the de...

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Bibliographic Details
Main Authors: Raheel Asghar, Muhammad Faisal Javed, Mujahid Ali, Taoufik Najeh, Yaser Gamil
Format: Article
Language:English
Published: Nature Portfolio 2024-05-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-59345-4